Bridging classroom learning with real-world industry experience

AI in Digital Pathology for Oral Cancer Grading

Dr. Barun Barua · IPDF, MSFDSAI IITG

• Artificial intelligence is rapidly transforming digital pathology by enabling automated analysis of histopathology images for cancer diagnosis and grading. However, developing AI systems that are pathologically aligned, interpretable, and applicable in resource-constrained clinical settings remains a significant challenge.
• AI for oral cancer grading
• Stain normalization for reliable pathology image analysis
• Analysis of keratinization and tumour-infiltrating lymphocytes (TILs)
• Interpretable AI for extracting meaningful pathological features
• Integrating histopathology and molecular data for next-generation multimodal AI

Standing Out Professionally: Skills, Leadership & Career Growth

Aditi Sharma · Career Coach, Sales Trainer & LinkedIn Top Voice, Founder @ Didache LLP

This session provided insights on professional skills, which help showcase your potential and make the most of the opportunities that come your way.

• Human skills that employers value the most
• Finding your career direction through problem solving
• Developing leadership & a growth mindset
• Building a standout resume and LinkedIn profile
• Personal branding in the age of AI
• Interview preparation & industry expectations

Moving from Developing ML Models to AI Systems for Products

Ravi Kumar Satzoda · Director of Applied Science (OCI/GenAI), Oracle

Building successful AI products involves much more than developing accurate machine learning models. This session explored the transition from research-oriented ML models to practical, scalable, and production-ready AI systems through real-world industry insights.

• Understanding the difference between ML models and AI products
• Engineering challenges in deploying AI systems at scale
• Product thinking for real-world AI applications
• Trade-offs between research and production AI

The session concluded with an engaging discussion where students interacted with the speaker and explored practical challenges involved in designing, deploying, and scaling AI systems for real-world applications.

Three Pillars of Data Science in Travel & Hospitality

Dr. Shakti Goel · Chief Architect & Data Scientist, Yatra Online Ltd.

This session explores the three pillars driving innovation in the Travel and Hospitality industry — Data Analytics, Machine Learning, and AI-driven Automation.

• Data-driven decision making using analytics
• Machine learning applications in travel industry
• AI and LLMs for customer experience transformation
• Real-world airline fare optimization case study
• Emerging career opportunities in Data Science and GenAI

Through practical examples and industry insights, participants will understand how modern organizations leverage data science, machine learning, and generative AI to solve business challenges and improve operational efficiency.

From Digital Reasoning to Physical Action: Vision-Language-Action (VLA) Models (Embodied AI)

Sourabh Tiwari · Generative AI Solutions Architect, Samsung R&D Institute

Explore the next stage of Artificial Intelligence where perception, reasoning, and physical action converge through Vision-Language-Action (VLA) models and Embodied AI systems.

• The evolution of Embodied AI
• Vision-Language-Action (VLA) end-to-end pipeline
• Bridging the Sim-to-Real gap
• Open-source simulation environments for research
• Low-cost laboratory tools for academic projects

The session highlights how modern AI systems can move beyond digital reasoning to interact with the physical world, enabling robotics, autonomous systems, and next-generation intelligent agents.

Vibe to Live: Build a Real App in 60 min

Anand Gangadharan · Data & Product Leader, American Express

A hands-on session demonstrating how AI can transform an idea into a live, working application in just one hour. Participants will learn how modern AI tools accelerate research, design, development, and deployment.

• From idea to deployed application in 60 minutes
• Using AI for research, planning, and design
• Rapid application development workflows
• Deploying a live app that runs in a browser
• No coding background required

This practical workshop showcases how individuals can leverage AI-assisted development tools to quickly validate ideas, create functional prototypes, and launch real applications.

Affordable and Portable Breast Cancer Screening Test Powered by AI

Dr. Geetha Manjunath · Founder, CEO & CTO, NIRAMAI Health Analytix

Breast cancer remains one of the leading causes of cancer-related deaths among women worldwide. Early detection is critical for improving survival rates and reducing treatment costs.

• AI-powered breast cancer screening technology
• How NIRAMAI Thermalytix works
• Radiation-free and non-invasive diagnostic approach
• Affordable and portable healthcare innovation
• Real-world impact of AI in medical diagnostics

The session will showcase how patented Artificial Intelligence algorithms analyze thermal patterns to generate breast health reports and enable early-stage cancer detection in a privacy-aware, accessible, and scalable manner.

Designing AI Systems Across Contexts

Ravi Kumar Satzoda · Director of Applied Science (OCI/GenAI), Oracle

AI systems are not designed in a vacuum. The choices we make while building them vary significantly depending on whether they are intended for academia, industry research, or product-driven environments.

• Designing AI systems across different contexts
• Balancing cost, latency, scalability and accuracy
• Moving from research ideas to deployable AI solutions
• Understanding practical trade-offs in system design
• Building reliable and purpose-driven AI systems

Through real-world examples, attendees gain insights into how constraints such as data availability, user requirements, scalability, and operational realities influence AI system architecture and deployment decisions.

Multi-modal AI (Vision & Language for Next-Gen Live Assistants)

Sourabh Tiwari · Generative AI Solutions Architect, Samsung R&D Institute, Bangalore

An insightful session on Multi-modal AI, covering how modern systems integrate vision and language for real-time understanding and interaction.

• AGI journey & role of multi-modal AI
• LMM architecture & cross-modal learning
• Live demo for visual reasoning

From Classroom to Industry: How Data Science Actually Works in the Real World

Gurleen Ahuja · Lead Decision Scientist, Tesco

This session explores how data science is practiced in real industry environments, moving beyond theoretical concepts to practical, business-driven applications. It walks through the complete lifecycle of a data science project, including problem framing, data exploration, feature engineering, modeling, and translating insights into actionable decisions. Participants will also gain exposure to real-world challenges faced by data professionals, along with a live demonstration using a real dataset. The session concludes with practical guidance on building relevant skills, developing strong project portfolios, and navigating career pathways in the field of data science.

Breaking Into High-Impact Careers in the AI Era

Chandra Sekhar · Sr. AI Engineer & Curriculum Lead
Pulkit Tyagi · Sr. Gen-AI Engineer, Axelerant

This session explores how AI is reshaping careers across engineering, data, product, and operations — and what hiring managers truly evaluate in the AI era. Instead of fear-driven narratives, the workshop focuses on clarity, positioning, and building leverage with AI.

• How AI is redefining job roles
• Skills becoming obsolete vs unstoppable
• What recruiters actually look for
• Building AI-aligned career roadmaps
• Using AI tools effectively in daily workflow

Includes a 20-minute practical session on AI-assisted workflows, prompt structuring, automation, and live Cursor IDE demonstration.

Breaking into High-Impact Data / AI Roles

Anand Gangadharan · Data & Product Leader, American Express

Hiring managers don’t hire tools—they hire impact. This session demystifies what recruiters and interviewers actually evaluate when assessing industry readiness, focusing on signals rather than buzzwords. Participants will learn how to define “high-impact” work, map their skill stack across SQL, analytics, ML/GenAI, and storytelling, and communicate outcomes effectively. The session will conclude with a walkthrough of three standout, portfolio-ready projects—a Marketing & Revenue Intelligence Hub, a Support Agent built with RAG and evaluation frameworks, and a Churn & Retention Engine covering feature design, modeling, and uplift—followed by Q&A and actionable next steps.